Framework Desktop (AMD Ryzen AI Max 300 Series)
Geekbench AI Score
2857
Single Precision Score
2947
Half Precision Score
2469
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | mnin |
| Upload Date | October 02 2025 11:27 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | Framework Desktop (AMD Ryzen AI Max 300 Series) |
| Motherboard | Framework FRANMFCP06 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 5.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 122.84 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1626
302.4 IPS |
|
|
Image Classification (HP)
|
100% |
1804
335.6 IPS |
|
|
Image Classification (Q)
|
99% |
1873
349.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3073
49.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3027
49.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1695
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4311
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
4318
5.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
6137
7.19 IPS |
|
|
Object Detection (SP)
|
100% |
2158
171.2 IPS |
|
|
Object Detection (HP)
|
100% |
2180
172.9 IPS |
|
|
Object Detection (Q)
|
85% |
2146
172.7 IPS |
|
|
Face Detection (SP)
|
100% |
3609
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
3605
42.8 IPS |
|
|
Face Detection (Q)
|
97% |
3594
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3071
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3148
24.3 IPS |
|
|
Depth Estimation (Q)
|
63% |
3161
29.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5466
7.03 IPS |
|
|
Style Transfer (HP)
|
100% |
5566
7.15 IPS |
|
|
Style Transfer (Q)
|
98% |
9299
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1951
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2631
97.5 IPS |
|
|
Text Classification (SP)
|
100% |
1752
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1801
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
933
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3770
64.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4306
74.2 IPS |
|
|
Machine Translation (Q)
|
58% |
777
18.2 IPS |
